Symbol-level precoding scheme robust to channel estimation errors in wireless fading channels

IF 4.1 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
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引用次数: 0

Abstract

Most studies on symbol-level (SL) precoding have assumed that channel estimation is perfect. However, because interference signals or additive white Gaussian noise exist in the received signal for channel estimation, channel estimation errors always exist. In this paper, we propose an SL precoding scheme that is robust to channel estimation errors. First, using the characteristics of the channel estimation errors, we derive an equation for the worst-case mean squared error (MSE) which is the maximum of the MSE. Then by designing the SL precoding to minimize the worst-case MSE, it has robust characteristics against channel estimation errors.
对无线衰减信道中的信道估计误差具有鲁棒性的符号级预编码方案
大多数关于符号级(SL)预编码的研究都假设信道估计是完美的。然而,由于用于信道估计的接收信号中存在干扰信号或加性白高斯噪声,信道估计误差始终存在。本文提出了一种对信道估计误差具有鲁棒性的 SL 预编码方案。首先,我们利用信道估计误差的特点,推导出最坏情况下的均方误差(MSE)方程,即 MSE 的最大值。然后,通过设计 SL 预编码来最小化最坏情况下的 MSE,从而使其对信道估计误差具有稳健特性。
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来源期刊
ICT Express
ICT Express Multiple-
CiteScore
10.20
自引率
1.90%
发文量
167
审稿时长
35 weeks
期刊介绍: The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.
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